Apache Airflow vs Apache Kafka: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare Apache Airflow and Apache Kafka across features, pricing, integrations, and community metrics. Apache Airflow / Apache Kafka.

Feature

Apache Airflow

Workflow

Apache Kafka

Messaging

Side-by-side comparison of developer tools
Platform to programmatically author and schedule workflows
Distributed streaming platform
GitHub Stars
⭐ 45,276
⭐ 32,505
Contributors
👥 4,323
👥 1,675
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
Java
Features
  • • Airflow
  • • Apache
  • • Apache Airflow
  • • Automation
  • • Dag
  • • Java
  • • Kafka
  • • Scala
  • • Streaming
Integrations
No integrations listed
  • • kafka
Momentum Score
94/100 (stable)
89/100 (stable)
Community Health
91/100 (excellent)
85/100 (excellent)
Maturity Index
88/100 (mature)
82/100 (established)
Innovation Score
88/100 (pioneering)
70/100 (innovative)
Risk Score (higher is safer)
94/100 (minimal)
82/100 (minimal)
Developer Experience
80/100 (good)
54/100 (needs-improvement)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Airflow Strengths

  • ✓ More popular (45,276 stars)
  • ✓ Larger community (4,323 contributors)
  • ✓ More features (5 listed)

Apache Kafka Strengths

When to Use Apache Airflow vs Apache Kafka

Use Apache Airflow when its strengths align better with your stack and team needs, and choose Apache Kafka when its ecosystem, integrations, or cost profile is a better fit.

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Data source: GitHub API

Last updated: 5/4/2026